Evidence map›Paper›PMID 30794895›Full record

ReviewVirus research2019

Drug repurposing for new, efficient, broad spectrum antivirals.

Moisés García-Serradilla, Cristina Risco, Beatriz Pacheco

Abstract readReview
In one paragraph

Review in Virus research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

43 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
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  6. Membrane-Targeting Antivirals.International journal of molecular sciences · 2025
    Review
  7. West Nile virus unmasked: from gene variability to future challenges.Frontiers in cellular and infection microbiology · 2025
    Review
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  9. Article
  10. Review
  11. Review
  12. Article
  13. Review
  14. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Moisés García-SerradillaCell Structure Laboratory, National Center for Biotechnology, National Research Council, CNB-CSIC, Darwin 3, UAM, campus de Cantoblanco, 28049 Madrid, Spain.
Cristina RiscoCell Structure Laboratory, National Center for Biotechnology, National Research Council, CNB-CSIC, Darwin 3, UAM, campus de Cantoblanco, 28049 Madrid, Spain. Electronic address: crisco@cnb.csic.es.
Beatriz PachecoCell Structure Laboratory, National Center for Biotechnology, National Research Council, CNB-CSIC, Darwin 3, UAM, campus de Cantoblanco, 28049 Madrid, Spain. Electronic address: bpache01@ucm.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emerging viruses are a major threat to human health. Recent outbreaks have emphasized the urgent need for new antiviral treatments. For several pathogenic viruses, considerable efforts have focused on vaccine development. However, during epidemics infected individuals need to be treated urgently. High-throughput screening of clinically tested compounds provides a rapid means to identify undiscovered, antiviral functions for well-characterized therapeutics. Repurposed drugs can bypass part of the early cost and time needed for validation and authorization. In this review we describe recent efforts to find broad spectrum antivirals through drug repurposing. We have chosen several candidates and propose strategies to understand their mechanism of action and to determine how resistance to antivirals develops in infected cells.

Indexed as

Drug RepositioningAnimalsAntiviral AgentsCytopathogenic Effect, ViralHigh-Throughput Screening AssaysHumansMiceVirusesVirus ReplicationAntiviral AgentsAntiviralsDrug repurposingVirus

Identifiers

PMID30794895
PMCPMC7114681

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.